Title :
Auction Based Spectrum Trading for Cognitive Radio Networks
Author :
Tehrani, Mohsen Nader ; Uysal, Mustafa
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
In this letter, we consider the shared used model in cognitive radio networks and design a spectrum trading method to maximize the total satisfaction of the Secondary Users (SUs) and revenue of the Wireless Service Provider (WSP). In our design, we consider the risk of imperfect spectrum sensing which causes the SUs miss the presence of licensed users and interfere with them. Taking into account this risk, we first propose a multi-unit sequential sealed-bid first-price auction to optimize the payoff of each SU. Then, we derive an expression for the total revenue of WSP and maximize it by optimizing the sensing time. Our results demonstrate that the proposed auction-based spectrum trading method brings better revenue than its counterparts.
Keywords :
cognitive radio; electronic commerce; radio networks; radio spectrum management; signal detection; telecommunication industry; telecommunication services; SU; WSP; auction based spectrum trading method; cognitive radio network; imperfect spectrum sensing risk; interference; multiunit sequential sealed-bid first-price auction; secondary user; shared used model; wireless service provider; Cognitive radio; Dynamic spectrum access; Sensors; TV; Throughput; Wireless sensor networks; Sealed-bid first-price auction; cognitive radio networks; sensing-revenue trade-off; spectrum sensing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.043013.130371
